Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Australian Red Cross » MELLIFAUS1783996041

Incident Score: Analysis & Impact (MELLIFAUS1783996041)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-30
Company Score Before Incident774 / 1000
Company Score After Incident744 / 1000
INCIDENT NUMBERMELLIFAUS1783996041
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDOver 10,000 records
INCIDENT DATE11/07/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Australian Red Cross's Cyber Attack and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Australian Red Cross Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Australian Red Cross breach identified under incident ID MELLIFAUS1783996041.

The analysis begins with a detailed overview of Australian Red Cross's information like the linkedin page: https://www.linkedin.com/company/australian-red-cross, the number of followers: 92352, the industry type: Non-profit Organizations and the number of employees: 2596 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 774 and after the incident was 744 with a difference of -30 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Australian Red Cross and their customers.

On 11 July 2026, Lifeline Australia disclosed Data Breach issues under the banner "Lifeline Australia Data Breach".

Australian suicide-prevention charity Lifeline confirmed a data breach after a hacker known as '2019' posted stolen records on a dark web forum.

The disruption is felt across the environment, and exposing Over 10,000 records, with nearly Over 10,000 records at risk.

In response, teams activated the incident response plan, and stakeholders are being briefed through Notifying affected individuals and warning staff about potential scam activity.

The case underscores how Ongoing, with advisories going out to stakeholders covering Warning staff about potential scam activity.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating hacker known as 2019 posted stolen records on a dark web forum and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating targeting multiple Australian organisations, including Lifeline. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating staff names, emails, dates of birth, client IDs, phone numbers compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating over 10,000 records, including staff names, emails, internal data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating posted stolen records on a dark web forum on 11 July and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data sold on dark web such as Yes (posted on dark web forum). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating some of which was later found to be falsified and Disk Wipe (T1561) with lower confidence (20%), supported by evidence indicating no details on malware’s origin or extent of breach. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Trusted Relationship (40%)
Credential Access
Unsecured Credentials (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Destruction (30%)
Disk Wipe (20%)